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A Study of Fatigue Data Editing using the Short-Time Fourier Transform (STFT)

A Study of Fatigue Data Editing using the Short-Time Fourier Transform (STFT) American Journal of Applied Sciences 6 (4): 565-575, 2009 ISSN 1546-9239 © 2009 Science Publications S. Abdullah, C.K.E. Nizwan and M.Z. Nuawi Department of Mechanical and Materials Engineering, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia Abstract: This study presents the development of the STFT-based fatigue data editing technique that will be used as a tool to accelerate for accelerating fatigue testing. This technique was performed by removing low amplitude cycles contained in the original signal in order to produce a shortened signal using the Short-Time Fourier Transform (STFT) parameter. The effectiveness of STFT power spectrum was validated using an SAE random fatigue data in order to indicate the relationship between STFT parameter and fatigue damage. The data was separated into two segments, i.e., damage and non- damage segments based on the 100% retention of the original fatigue damage. For the editing process, the STFT power spectrum distribution was used as the parameter to identify the damaged segment according to the power spectrum Cut-Off Level (COL). The low amplitude cycles with power spectrum lower than COL value were then removed from the original signal. Thus, a new edited signal was obtained which has retained almost 100% of the original fatigue http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png American Journal of Applied Sciences Unpaywall

A Study of Fatigue Data Editing using the Short-Time Fourier Transform (STFT)

Abdullah, S.; Nizwan, C.K.E.; Nuawi, M.Z.
American Journal of Applied Sciences – Apr 1, 2009
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Unpaywall
ISSN
1546-9239
DOI
10.3844/ajas.2009.565.575
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Abstract

American Journal of Applied Sciences 6 (4): 565-575, 2009 ISSN 1546-9239 © 2009 Science Publications S. Abdullah, C.K.E. Nizwan and M.Z. Nuawi Department of Mechanical and Materials Engineering, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia Abstract: This study presents the development of the STFT-based fatigue data editing technique that will be used as a tool to accelerate for accelerating fatigue testing. This technique was performed by removing low amplitude cycles contained in the original signal in order to produce a shortened signal using the Short-Time Fourier Transform (STFT) parameter. The effectiveness of STFT power spectrum was validated using an SAE random fatigue data in order to indicate the relationship between STFT parameter and fatigue damage. The data was separated into two segments, i.e., damage and non- damage segments based on the 100% retention of the original fatigue damage. For the editing process, the STFT power spectrum distribution was used as the parameter to identify the damaged segment according to the power spectrum Cut-Off Level (COL). The low amplitude cycles with power spectrum lower than COL value were then removed from the original signal. Thus, a new edited signal was obtained which has retained almost 100% of the original fatigue

Journal

American Journal of Applied Sciences – Unpaywall

Published: Apr 1, 2009

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